2026-09-22T02:47:53Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/101549 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Kumar, Ranjitha Khandekar, Sujay 2018-09-27T16:17:45Z 2018-09-27T16:17:45Z 2018-07-10 2018-08 Emojis have emerged as a popular form of digital communication that can quickly convey big ideas or expressions with a single character. Since their creation in 1999, emojis have become a mainstay in the digital lexicography of instant messaging and social media. However, emojis are traditionally used in conjunction with text, as supplemental metadata. This paper explores the feasibility of emoji-only communication and emoji grammars. To gather emoji-only data, we built Opico, an emoji-first, social media mobile app that allows users to share emoji reactions about the places they visit with their friends. Each post in the app is a one-to-five emoji sentence to express an emotion, sentiment, or description about a location. After collecting over 3500 emoji reactions and having over 900 users on the app, the results demonstrate emoji-only communication provided concise forms of expression about various locations across the world. Data analysis has uncovered the various patterns and linguistics of how users construct emoji-only sentences, building the foundation for an emoji grammar. Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2018-09-27 without embargo terms The student, Sujay Khandekar, accepted the attached license on 2018-07-09 at 19:06. The student, Sujay Khandekar, submitted this Thesis for approval on 2018-07-09 at 19:13. This Thesis was approved for publication on 2018-07-10 at 12:14. DSpace SAF Submission Ingestion Package generated from Vireo submission #12786 on 2018-09-27 at 10:47:29 Made available in DSpace on 2018-09-27T16:17:45Z (GMT). No. of bitstreams: 2 KHANDEKAR-THESIS-2018.pdf: 6939438 bytes, checksum: e5a686d2ff486f3c3a04f02c02ce84af (MD5) LICENSE.txt: 4212 bytes, checksum: f4e88d0a9ff5771d56b5d402b28363fc (MD5) Previous issue date: 2018-07-10 application/pdf http://hdl.handle.net/2142/101549 en Copyright 2018 Sujay Khandekar emoji, digital communication, mobile, app OPICO: A platform for collecting and analyzing emoji usage text text Computer Science Computer Science University of Illinois at Urbana-Champaign Thesis M.S.